7 ai research scientist jobs at 4 companies in Connecticut
PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Python, PyTorch, Elasticsearch, LLMs
2w
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Research Scientist in AI/ML for Dynamics and Control (Hybrid)
East Hartford, Connecticut, United States
$87k-$165k/yr HybridFull Time
Ph.D. in Math/Physics/CS/Engineering, strong control fundamentals, experience with ML for control, control-oriented modeling, proficiency in MATLAB/Simulink, Python, PyTorch or TensorFlow, and U.S. citizenship required.
MATLAB/Simulink, Python, PyTorch, TensorFlow, Speedgoat, dSPACE, LabVIEW, NIDAQ, FPGA, C/C++, PX4, ArduPilot, ROS, ROS2, Gazebo, Large Language Models
3w
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Principal ML/AI Cheminformatics Scientist
Groton, Connecticut, United States
$106k-$177k/yr HybridFull Time
4+ YOEPhD (4+ years) or Master’s (9+ years) in cheminformatics/computational chemistry/data science; experience applying ML/AI to medicinal chemistry; strong Python and cheminformatics library experience (RDKit, OpenEye, DeepChem); strong collaboration and communication skills.
Python, RDKit, OpenEye, DeepChem, InChI, SMILES, SMARTS
1mo
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Principal Scientist – Antibody Discovery/Protein Design
Branford, Connecticut, United States
OnsiteFull Time
5+ YOEPhD in biochemistry, computational biology, or structural biology with 5+ years antibody/biotherapeutic engineering experience; AI/ML protein design; antibody display tech; multispecific protein design; strong cross-functional collaboration.
AI/ML, Yeast display, Phage display, Antibody engineering, Biophysical characterization, Multispecific protein design
1mo
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Senior Principal, Scientist, Computational Sa (Ridgefield, CT, United States, Connecticut)
Ridgefield, Connecticut, United States
$140k-$222k/yr OnsiteFull Time
7+ YOEPhD in Computational Toxicology/Computational Biology/Bioinformatics or related field; 7+ years postdoc/industry experience in drug discovery; ≥3 years safety risk assessment; expertise in AI/ML, multi-omics; collaborative, able to translate results to stakeholders.
AI/ML, Multi-omics, Toxicology modeling, Foundation models